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Carlos Fernández-Loría

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2020 – today

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2024
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  - journals/corr/abs-2406-09567
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Carlos Fernández-Loría, Yanfang Hou, Foster J. Provost, Jennifer Hill:
Causal Fine-Tuning and Effect Calibration of Non-Causal Predictive Models. CoRR abs/2406.09567 (2024)
2023
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  - journals/isr/Fernandez-Loria23
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Carlos Fernández-Loría, Maxime C. Cohen, Anindya Ghose:
Evolution of Referrals over Customers' Life Cycle: Evidence from a Ride-Sharing Platform. Inf. Syst. Res. 34(2): 698-720 (2023)
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Carlos Fernández-Loría, Foster J. Provost, Jesse Anderton, Benjamin A. Carterette, Praveen Chandar:
A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation. Inf. Syst. Res. 34(2): 786-803 (2023)
2022
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Carlos Fernández-Loría, Foster J. Provost:
Causal Classification: Treatment Effect Estimation vs. Outcome Prediction. J. Mach. Learn. Res. 23: 59:1-59:35 (2022)
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  - journals/corr/abs-2206-12532
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Carlos Fernández-Loría, Jorge Loría:
Learning the Ranking of Causal Effects with Confounded Data. CoRR abs/2206.12532 (2022)
2021
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  - journals/corr/abs-2104-04103
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Carlos Fernández-Loría, Foster J. Provost:
Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters. CoRR abs/2104.04103 (2021)
2020
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Carlos Fernández-Loría, Foster J. Provost:
Combining Observational and Experimental Data to Improve Large-Scale Decision-Making. ICIS 2020

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